[Mlir-commits] [mlir] [mlir][python] python binding wrapper for the affine.AffineForOp (PR #74408)

[Amy Wang]

================
@@ -3,3 +3,145 @@
 #  SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 
 from ._affine_ops_gen import *
+from ._affine_ops_gen import _Dialect, AffineForOp
+from .arith import constant
+
+try:
+    from ..ir import *
+    from ._ods_common import (
+        get_op_result_or_value as _get_op_result_or_value,
+        get_op_results_or_values as _get_op_results_or_values,
+        _cext as _ods_cext,
+    )
+except ImportError as e:
+    raise RuntimeError("Error loading imports from extension module") from e
+
+from typing import Optional, Sequence, Union
+
+
+ at _ods_cext.register_operation(_Dialect, replace=True)
+class AffineForOp(AffineForOp):
+    """Specialization for the Affine for op class"""
+
+    def __init__(
+        self,
+        lower_bound,
+        upper_bound,
+        step,
+        iter_args: Optional[Union[Operation, OpView, Sequence[Value]]] = None,
+        *,
+        lower_bound_operands=[],
+        upper_bound_operands=[],
+        loc=None,
+        ip=None,
+    ):
+        """Creates an Affine `for` operation.
+
+        - `lower_bound` is the affine map to use as lower bound of the loop.
+        - `upper_bound` is the affine map to use as upper bound of the loop.
+        - `step` is the value to use as loop step.
+        - `iter_args` is a list of additional loop-carried arguments or an operation
+          producing them as results.
+        - `lower_bound_operands` is the list of arguments to substitute the dimensions, 
+          then symbols in the `lower_bound` affine map, in an increasing order
+        - `upper_bound_operands` is the list of arguments to substitute the dimensions, 
+          then symbols in the `upper_bound` affine map, in an increasing order
+        """
+
+        if iter_args is None:
+            iter_args = []
+        iter_args = _get_op_results_or_values(iter_args)
+        if len(lower_bound_operands) != lower_bound.n_inputs:
+            raise ValueError(
+                f"Wrong number of lower bound operands passed to AffineForOp. "
+                + "Expected {lower_bound.n_symbols}, got {len(lower_bound_operands)}."
+            )
+
+        if len(upper_bound_operands) != upper_bound.n_inputs:
+            raise ValueError(
+                f"Wrong number of upper bound operands passed to AffineForOp. "
+                + "Expected {upper_bound.n_symbols}, got {len(upper_bound_operands)}."
+            )
+
+        results = [arg.type for arg in iter_args]
+        super().__init__(
+            results_=results,
+            lowerBoundOperands=[
+                _get_op_result_or_value(o) for o in lower_bound_operands
+            ],
----------------
kaitingwang wrote:

Thanks!  Yes, it does work.  I changed it and pushed the change.

https://github.com/llvm/llvm-project/pull/74408